Course summary
1st in the world for Development Studies (QS World University Rankings by Subject 2025) 1st in the UK among science and technology policy think tanks for SPRU – Science Policy Research Unit (Global Go To Think Tank Index Report 2020) Top 20 in the UK for Business and Economics (The Times Higher Education World University Rankings by Subject 2025) Learn to apply economic theories and develop enhanced data science skills. On this MSc you’ll gain a practical skillset that is in demand in today’s job market. You'll build a comprehensive knowledge of Economics with a strong grounding in its applications using computing and programming skills. This will enable you to analyse large and complex data sets to solve complex problems. These skills are essential in analysing economic policy and financial markets, as well as utilising data for informed decision-making. On this course you will:
- study machine learning techniques, text analysis, neural networks and econometric methods
- use programming languages to address economic problems
- work with real-world scenarios, take part in collaborative projects and gain exposure to industry practices
- gain advanced skills in data communication, visualisation and presentation.
Entry requirements
Degree requirements You should have an upper second-class (2.1) undergraduate honours degree or above. Subject-specific requirements Your qualification should be in economics, physics, engineering, science, computing, mathematics or life sciences. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Our goal is to ensure that every student who wants to study with us is able to regardless of financial barriers, so that we continue to attract talented and unique people. Details of our scholarships are not yet set for entry in the academic year 2026/27.
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH